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ORCIDJuan Zhao 0003
Person information
- affiliation: Vanderbilt University Medical Center, Nashville, TN, USA
- affiliation: Tennessee State University, College of Engineering, TN, USA
- affiliation (PhD): Chinese Academy of Sciences, Computer Network Information Center, Beijing, China
Other persons with the same name
- Juan Zhao — disambiguation page
- Juan Zhao 0001 — Beijing Institute of Technology, School of Information and Electronics, China
- Juan Zhao 0002
![[0000-0001-7108-609X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7108-609X")
— Nanjing University of Posts and Telecommunications (NJUPT), School of Communication and Information Engineering, China - Juan Zhao 0004 — Jingchu University of Technology, School of Electronics and Information Enginnering, Jingmen, China
- Juan Zhao 0005 — Singapore University of Technology and Design, Pillar of Information Systems Technology and Design, Singapore
- Juan Zhao 0006 — National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China
- Juan Zhao 0007 — Deakin University, School of Information Technology, Burwood, Australia
- Juan Zhao 0008 — North China University of Water Resources and Electric Power, School of Foreign Studies, Zhengzhou, China
- Juan Zhao 0009 — China Mobile Research Institute, Beijing, China (and 1 more)
- Juan Zhao 0010 — Wuhan Polytechnic University, School of Mathematics and Computer Science, China (and 1 more)
- Juan Zhao 0011 — Aba Teachers College, Department of Foreign Language, Sichuan, China
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2020 – today
- 2023
[j9]Nicholas C. Wan, Ali A Yaqoob, Henry H. Ong, Juan Zhao, Wei-Qi Wei:
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping. J. Am. Medical Informatics Assoc. 30(3): 456-465 (2023)- [j8]Fuchen Li, Patrick Wu, Henry H. Ong, Josh F. Peterson, Wei-Qi Wei, Juan Zhao:
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction. J. Biomed. Informatics 138: 104294 (2023) - 2022
- [j7]Yu Deng, Jennifer A. Pacheco, Anika S. Ghosh, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chad Dorn, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
Natural language processing to identify lupus nephritis phenotype in electronic health records. BMC Medical Informatics Decis. Mak. 22-S(2): 348 (2022) - [c14]Yanwei Li, Wei-Qi Wei, Juan Zhao, Chao Yan, Henry H. Ong:
Evaluating Phenotype Classification Using Synthesized Online Content. AMIA 2022 - [c13]Eranga Bandara, Sachin Shetty, Abdul Rahman, Ravi Mukkamala, Juan Zhao, Xueping Liang:
Bassa-ML - A Blockchain and Model Card Integrated Federated Learning Provenance Platform. CCNC 2022: 753-759 - 2021
- [j6]Patrick Wu, Scott D. Nelson, Juan Zhao, Cosby A. Stone Jr., QiPing Feng, Qingxia Chen, Eric A. Larson, Bingshan Li, Nancy J. Cox, C. Michael Stein, Elizabeth Phillips, Dan M. Roden, Joshua C. Denny, Wei-Qi Wei:
DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. J. Am. Medical Informatics Assoc. 28(7): 1421-1430 (2021) - [j5]Juan Zhao, Monika E. Grabowska, Vern Eric Kerchberger, Joshua C. Smith, H. Nur Eken, QiPing Feng, Josh F. Peterson, S. Trent Rosenbloom, Kevin B. Johnson, Wei-Qi Wei:
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes. J. Biomed. Informatics 117: 103748 (2021) - [c12]Juan Zhao, Monika E. Grabowska, Wei-Qi Wei:
Early Detect COVID-19 Presenting Symptoms and Characteristics Using Natural Language Processing on Electronic Health Records. AMIA 2021 - [i1]Yu Deng, Jennifer A. Pacheco, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
Natural language processing to identify lupus nephritis phenotype in electronic health records. CoRR abs/2112.10821 (2021) - 2020
- [j4]Neil S. Zheng, QiPing Feng, Vern Eric Kerchberger, Juan Zhao, Todd L. Edwards, Nancy J. Cox, C. Michael Stein, Dan M. Roden, Joshua C. Denny, Wei-Qi Wei:
PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records. J. Am. Medical Informatics Assoc. 27(11): 1675-1687 (2020) - [c11]Juan Zhao, Yu Wang, QiPing Feng, Wei-Qi Wei:
Detecting National Institutes of Health's funding interests and trends using Machine Learning. AMIA 2020
2010 – 2019
- 2019
- [j3]Juan Zhao, Sachin Shetty, Jan Wei Pan, Charles A. Kamhoua, Kevin A. Kwiat:
Transfer learning for detecting unknown network attacks. EURASIP J. Inf. Secur. 2019: 1 (2019) - [j2]Juan Zhao, Yun Zhang, David J. Schlueter, Patrick Wu, Vern Eric Kerchberger, S. Trent Rosenbloom, Quinn Stanton Wells, QiPing Feng, Joshua C. Denny, Wei-Qi Wei:
Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study. J. Biomed. Informatics 98 (2019) - [c10]Juan Zhao, QiPing Feng, Patrick Wu, Joshua C. Denny, Wei-Qi Wei:
Deep Learning Using Electronic Health Records and Genetic Data to Predict Cardiovascular Diseases. AMIA 2019 - 2018
- [j1]Xueping Liang, Sachin Shetty, Deepak K. Tosh, Juan Zhao, Danyi Li, Jihong Liu:
A Reliable Data Provenance and Privacy Preservation Architecture for Business-Driven Cyber-Physical Systems Using Blockchain. Int. J. Inf. Secur. Priv. 12(4): 68-81 (2018) - [c9]Juan Zhao, QiPing Feng, Patrick Wu, Joshua C. Denny, Wei-Qi Wei:
Using Topic Modeling to Identify Relationship between LPA Variant and Disease Phenotypes. AMIA 2018 - 2017
- [c8]Xueping Liang, Sachin Shetty, Juan Zhao, Daniel Bowden, Danyi Li, Jihong Liu:
Towards Decentralized Accountability and Self-sovereignty in Healthcare Systems. ICICS 2017: 387-398 - [c7]Juan Zhao, Sachin Shetty, Jan Wei Pan:
Feature-based transfer learning for network security. MILCOM 2017: 17-22 - [c6]Xueping Liang, Juan Zhao, Sachin Shetty, Danyi Li:
Towards data assurance and resilience in IoT using blockchain. MILCOM 2017: 261-266 - [c5]Xueping Liang, Juan Zhao, Sachin Shetty, Jihong Liu, Danyi Li:
Integrating blockchain for data sharing and collaboration in mobile healthcare applications. PIMRC 2017: 1-5 - 2015
- [c4]Yi Shen, Jianjun Yu, Kejun Dong, Juan Zhao, Kai Nan:
An Influence Field Perspective on Predicting User's Retweeting Behavior. WAIM 2015: 3-16 - 2014
- [c3]Juan Zhao, Kejun Dong, Jianjun Yu:
Recommending funding collaborators with scholar social networks. DSAA 2014: 122-127 - 2013
- [c2]Juan Zhao, Kejun Dong, Jianjun Yu, Wei Hu:
DSN: A Knowledge-Based Scholar Networking Practice Towards Research Community. e-Science 2013: 238-244 - 2010
- [c1]Juan Zhao, Shuren Li, Jianjun Yu, Kejun Dong, Kai Nan, Baoping Yan:
A Cross-disciplinary Collaborative Research Platform - Study on Qinghai Lake Joint Research Environment. SITIS 2010: 211-216
Coauthor Index
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